teslamate-mcp

Instructions

Implementation Reference

• main_remote.py:118-127 (handler)

  Core handler function for executing predefined tools like get_efficiency_by_month_and_temperature. Retrieves the tool definition and executes the associated SQL query asynchronously using the database pool.
  async def execute_predefined_tool(tool_name: str) -> List[Dict[str, Any]]: """Execute a predefined tool by name""" if not app_context: raise RuntimeError("Application context not initialized") tool = get_tool_by_name(tool_name) return await app_context.db_manager.execute_query_async( tool.sql_file, app_context.db_pool )
• main.py:22-28 (handler)

  Factory that creates synchronous handler functions for each predefined tool by wrapping the database sync query execution for the specific SQL file.
  def create_tool_handler(sql_file: str): """Factory function to create tool handlers""" def handler() -> List[Dict[str, Any]]: return db_manager.execute_query_sync(sql_file) return handler
• main.py:32-39 (registration)

  Registration loop that dynamically creates and registers individual handler functions for each tool, including get_efficiency_by_month_and_temperature, using FastMCP's @tool decorator.
  for tool_def in TOOL_DEFINITIONS: tool_func = create_tool_handler(tool_def.sql_file) tool_func.__doc__ = tool_def.description tool_func.__name__ = tool_def.name # Register the tool with the MCP server mcp.tool()(tool_func)
• src/tools.py:67-71 (schema)

  Tool schema definition specifying the name, description, and SQL query file for the get_efficiency_by_month_and_temperature tool.
  ToolDefinition( name="get_efficiency_by_month_and_temperature", description="Get the efficiency by month and temperature for each car. Analyzes how seasonal temperature changes affect vehicle efficiency.", sql_file="efficiency_by_month_and_temperature.sql", ),
• main_remote.py:178-186 (registration)

  Registration of predefined tools in the list_tools() method for the remote HTTP MCP server, including the tool with empty input schema (no parameters).
  # Add all predefined tools for tool_def in TOOL_DEFINITIONS: tools.append( types.Tool( name=tool_def.name, description=tool_def.description, inputSchema={"type": "object", "properties": {}}, ) )